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70 results

Using Semantic Technology to Model Persona for Adaptable Agents

Conference Proceeding
Nguyen, J., Farrenkopf, T., Guckert, M., Powers, S., & Urquhart, N. (2021)
Using Semantic Technology to Model Persona for Adaptable Agents. In ECMS 2021, 35th Proceedings (172-178). https://doi.org/10.7148/2021
In state of the art research a growing interest in the application of agent models for the simulation of road traffic can be observed. Software agents are particularly suitabl...

Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World

Book
Urquhart, N. (in press)
Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World. Cham: Springer

Modelling Individual Preferences to Study and Predict Effects of Traffic Policies

Conference Proceeding
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021)
Modelling Individual Preferences to Study and Predict Effects of Traffic Policies. In Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection 19th International Conference, PAAMS 2021, Salamanca, Spain, October 6–8, 2021, Proceedings (163-175). https://doi.org/10.1007/978-3-030-85739-4_14
Traffic can be viewed as a complex adaptive system in which systemic patterns arise as emergent phenomena. Global behaviour is a result of behavioural patterns of a large set ...

Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour

Conference Proceeding
Nguyen, J., Powers, S. T., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021)
Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour. In Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good: The PAAMS Collection 19th International Conference, PAAMS 2021, Salamanca, Spain, October 6–8, 2021, Proceedings (363-366). https://doi.org/10.1007/978-3-030-85739-4_33
AGADE Traffic is an agent-based traffic simulator that can be used to analyse purpose-driven travel behaviour of individuals that leads to the emergence of systemic patterns i...

Optimisation Algorithms for Parallel Machine Scheduling Problems with Setup Times

Conference Proceeding
Kittel, F., Enekel, J., Guckert, M., Holznigenkemper, J., & Urquhart, N. (2021)
Optimisation Algorithms for Parallel Machine Scheduling Problems with Setup Times. In GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion (131-132). https://doi.org/10.1145/3449726.3459487
Parallel machine scheduling is a problem of high practical relevance for the manufacturing industry. In this paper, we address a variant in which an unweighted combination of ...

A Conceptual Framework for Establishing Trust in Real World Intelligent Systems

Journal Article
Guckert, M., Gumpfer, N., Hannig, J., Keller, T., & Urquhart, N. (2021)
A Conceptual Framework for Establishing Trust in Real World Intelligent Systems. Cognitive Systems Research, 68, 143-155. https://doi.org/10.1016/j.cogsys.2021.04.001
Intelligent information systems that contain emergent elements often encounter trust problems because results do not get sufficiently explained and the procedure itself can no...

Automated, Explainable Rule Extraction from MAP-Elites archives

Conference Proceeding
Urquhart, N., Höhl, S., & Hart, E. (2021)
Automated, Explainable Rule Extraction from MAP-Elites archives. In Applications of Evolutionary Computation: 24th International Conference, EvoApplications 2021. , (258-272). https://doi.org/10.1007/978-3-030-72699-7_17
Quality-diversity(QD) algorithms that return a large archive of elite solutions to a problem provide insights into how high-performing solutions are distributed throughout a f...

Real Time Optimisation of Traffic Signals to Prioritise Public Transport

Conference Proceeding
Plötz, P., Wittpohl, M., & Urquhart, N. (2021)
Real Time Optimisation of Traffic Signals to Prioritise Public Transport. In Applications of Evolutionary Computation: 24th International Conference, EvoApplications 2021. , (162-177). https://doi.org/10.1007/978-3-030-72699-7_11
This paper examines the optimisation of traffic signals to prioritise public transportation (busses) in real time. A novel representation for the traffic signal prioritisation...

Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation

Conference Proceeding
Hoffmann, B., Urquhart, N., Chalmers, K., & Guckert, M. (2020)
Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation
Multi-agent systems may be considered appropriate tools for simulating complex systems such as those based around traffic and transportation networks. Modelling traffic partic...

Using MAP-Elites to support policy making around Workforce Scheduling and Routing

Journal Article
Urquhart, N., Hart, E., & Hutcheson, W. (2020)
Using MAP-Elites to support policy making around Workforce Scheduling and Routing. Automatisierungstechnik, 68(2), https://doi.org/10.1515/auto-2019-0107
English abstract: Algorithms such as MAP-Elites provide a means of allowing users to explore a solution space by returning an archive of high-performing solutions. Such an arc...
14 results

ChargeBreak - Electric Vehicle Suitability Tool

2021 - 2021
This partnership will deliver a tool which utilises Big Data processes and methodologies to simplify the selection of EVs. This will enable uptake of EVs across commercial fleets in a manner which is ...
Funder: Scottish Funding Council | Value: £5,000

Bus Passenger Analytics

2020 - 2020
Passengers using the Lothian Buses network may use a smart card (Ridacard) to pay for their journey, swiping the card on boarding a vehicle. Smart card journeys account for about 1/3rd of journeys mad...
Funder: Data Lab | Value: £26,170

Optimisation of AirNode mesh nets

2019 - 2020
Urban air quality affects the lives of millions, according to WHO statistics air quality contributes to 6.7% of all deaths worldwide. Managing air quality in urban areas is now a priority for governme...
Funder: Scottish Funding Council | Value: £5,000

Netmedia: Innovation Voucher for Artificial Intelligence/Optimisation

2018 - 2018
The project will examine the manner in which a scheduling/timetabling system can be enhanced by having classifying users into types and then using problem templates matched to type to guide the user.
Funder: Scottish Funding Council | Value: £5,000

Bendifa Innovation Voucher

2017 - 2017
An SFC Innovation Voucher being used to fund a feasibility study examining the use of heuristics to optimize food collection and delivery.
Funder: Scottish Funding Council | Value: £4,920

The Extractive Components of UK Hardwood

2016 - 2017
Use the ITED system to search literature based observations about the chemical extractive components of both broadleaf and conifer tree species commonly grown in the UK. Chemically, wood structure ma...
Funder: Scottish Forestry | Value: £28,492

DataLab_LarderLoad

2016 - 2016
Analysis of transactional data provided by real time cloud based ordering systems linked within the food supply chain which targets Foodservice sector
Funder: Data Lab | Value: £19,807

Food Services Analytics

2015 - 2015
I-POS produce an Intelligent Point of Sale application which runs on Apple iPad hardware for use in bars and restaurants. The application generates transaction based sales data and re-ordering data fr...
Funder: Scottish Funding Council | Value: £5,000

Caddie Charger

2014 - 2014
Focusing on the IT aspects of sound recognition and analysis. The product will be used to monitor the players  playing golf shots using a mixture of location, wi-fi and sounds technologies. Through us...
Funder: Scottish Funding Council | Value: £4,950

BeeFound

2014 - 2014
A demonstrator has been created which showcases a ranking algorithm and availability matching. Currently discussions are ongoing regarding a follow on project.
Funder: Scottish Funding Council | Value: £5,000
10 results

Modelling and Assessment of the Individual’s Influence on Regional Transport Systems Using Multi-Agent Simulations

2020 - date
Johannes Nguyen | Director of Studies: Dr Neil Urquhart | Second Supervisor: Dr Simon Powers

Conception, implementation and empirical evaluation of a domain-specific language for multi-agent traffic and transport simulations

2016 - date
Benjamin Hoffmann | Director of Studies: Dr Neil Urquhart | Second Supervisor: Dr Kevin Chalmers

Youth digital culture co-creation: Measuring social impact in Scotland

2016 - 2019
Alicja Pawluczuk | Director of Studies: Dr Gemma Webster | Second Supervisor: Dr Colin Smith

A journey that motivates: Discovering the associate student experience

2015 - date
Debbie Meharg | Director of Studies: Ms Alison Varey | Second Supervisor: Dr Sandra Cairncross

Obstacles and opportunities in implementing agile project management: Re-positioning activity theory as an analytical tool

2015 - date
Pritam Chita | Director of Studies: Dr Peter Cruickshank | Second Supervisor: Dr Colin Smith

The role of networking and social media tools during job search: an information behaviour perspective

2014 - 2018
John Mowbray | Director of Studies: Prof Hazel Hall | Second Supervisor: Prof Robert Raeside

Applying semantic technologies to multi-agent models in the context of business simulations

2011 - 2017
Thomas Farrenkopf | Director of Studies: Dr Neil Urquhart | Second Supervisor: Dr Simon Wells

Computer aided synthesis and optimisation of electronic logic circuits

2008 - 2012
Ban Al-Jassani | Director of Studies: Abid Almaini | Second Supervisor: Dr Neil Urquhart

Tracking, Analysis and Measurement of Pedestrian Trajectories

2005 - 2016
The realistic simulation of pedestrian movement is a challenging problem, a large number of individual pedestrians may be included in the s...
Sarah Clayton | Director of Studies: Dr Neil Urquhart | Second Supervisor: Prof Jon Kerridge

Solving a real world routing proglem using evolutionary algorithms and multi-agent systems

1999 - 2003
Dr Neil Urquhart | Director of Studies: Peter Ross | Second Supervisor: Prof Ben Paechter